Structural Pattern Recognition with Graph Edit Distance | Approximation Algorithms and Applications

Kaspar Riesen

ISBN 10: 3319272519 / ISBN 13: 9783319272511

Verlag: Springer, 2016

Structural Pattern Recognition with Graph Edit Distance | Approximation Algorithms and Applications | Kaspar Riesen | Buch | xiii | Englisch | 2016 | Springer | EAN 9783319272511 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 104161009

Inhaltsangabe:

This unique text/reference presents a thorough introduction to the field of structural pattern recognition, with a particular focus on graph edit distance (GED). The book also provides a detailed review of a diverse selection of novel methods related to GED, and concludes by suggesting possible avenues for future research. Topics and features: formally introduces the concept of GED, and highlights the basic properties of this graph matching paradigm; describes a reformulation of GED to a quadratic assignment problem; illustrates how the quadratic assignment problem of GED can be reduced to a linear sum assignment problem; reviews strategies for reducing both the overestimation of the true edit distance and the matching time in the approximation framework; examines the improvement demonstrated by the described algorithmic framework with respect to the distance accuracy and the matching time; includes appendices listing the datasets employed for the experimental evaluations discussedin the book.

Über die Autorin bzw. den Autor:

Dr. Kaspar Riesen is a university lecturer of computer science in the Institute for Information Systems at the University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland.

Bibliografische Details

Titel: Structural Pattern Recognition with Graph ...
Verlag: Springer
Erscheinungsdatum: 2016
Einband: Buch
Zustand: Neu